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\section{Conclusion}
\label{sec:conclusion}

In this report, we investigated techniques to predict existence and types of
links in the Profiles in Terror dataset. We build our binary classifiers after
using various techniques to preprocess and combine features of the individual
nodes and data drawn from the network of nodes. We use logistic regression to learn from
the preprocessed data and construct our models.

We observed that network features obtained from the adjacency matrix of nodes 
improve the performance of our models. We also observe that propensity 
plays a larger role in predicting the type of a link than it does in
predicting the existence of a link.

